For this reason, we use the English and Spanish OpeNER corpora of hotel reviews [1]} as well as the Catalan MultiBooked Dataset [2]}. Statistics on the corpora are shown in Table REF . Each sentence is annotated for four classes of sentiment (strong positive, positive, negative, and strong negative). We use the English subset for training our classifiers and the Spanish and Catalan for testing the effects of word order on the target languages. Although these datasets are relatively small, they are all annotated similarly and
are in-domain, which avoids problems with mapping labels or domain shifts.
